InfoWorld

Where AI meets cloud-native computing

Developers need to master cloud-native strategies, such as microservices, containers, and orchestration, to unlock AI’s full ...
GitHub

A miniaturized version of the Kimi-K2 model optimized for deployment on single H100 GPUs.

Kimi-K2-Mini is an experimental compressed version of the 1.07T parameter Kimi-K2 model, targeting ~32.5B parameters for more accessible deployment. This project explores several optimization ...
IEEE

An Exploratory Study of Security Vulnerabilities in Machine Learning Deployment Projects

Abstract: Machine learning (ML) deployment projects are used by practitioners to automatically deploy ML models. While ML deployment projects aid practitioners, security vulnerabilities in these ...
IEEE

A Method of Malware Detection Using Machine Learning Algorithm

Abstract: The current challenge, in the cyber world is to identify and categorize software. To tackle this machine learning can be utilized to detect and classify malware by analyzing patterns, ...
ascopubs.org

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels Partial nephrectomy has been advocated as the preferred surgical approach ...